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ORCIDHermann Ney
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- affiliation: RWTH Aachen University, Germany
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2020 – today
- 2020
[j97]Oscar Koller
, Necati Cihan Camgöz, Hermann Ney, Richard Bowden:
Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos. IEEE Trans. Pattern Anal. Mach. Intell. 42(9): 2306-2320 (2020)- [c650]Christopher Brix, Parnia Bahar, Hermann Ney:
Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture. ACL 2020: 3909-3915 - [c649]Parnia Bahar, Nikita Makarov, Hermann Ney:
Investigation of Transformer-based Latent Attention Models for Neural Machine Translation. AMTA 2020: 7-20 - [c648]Yingbo Gao, Baohao Liao, Hermann Ney:
Unifying Input and Output Smoothing in Neural Machine Translation. COLING 2020: 4361-4372 - [c647]Zhihong Lei, Weiyue Wang, Christian Dugast, Hermann Ney:
Neural Language Modeling for Named Entity Recognition. COLING 2020: 6937-6941 - [c646]Yunsu Kim, Miguel Graça, Hermann Ney:
When and Why is Unsupervised Neural Machine Translation Useless? EAMT 2020: 35-44 - [c645]Baohao Liao, Yingbo Gao, Hermann Ney:
Multi-Agent Mutual Learning at Sentence-Level and Token-Level for Neural Machine Translation. EMNLP (Findings) 2020: 1715-1724 - [c644]Kazuki Irie, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney:
How Much Self-Attention Do We Needƒ Trading Attention for Feed-Forward Layers. ICASSP 2020: 6154-6158 - [c643]Wilfried Michel, Ralf Schlüter, Hermann Ney:
Frame-Level MMI as A Sequence Discriminative Training Criterion for LVCSR. ICASSP 2020: 6904-6908 - [c642]Nick Rossenbach, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems. ICASSP 2020: 7069-7073 - [c641]Vitalii Bozheniuk, Albert Zeyer, Ralf Schlüter, Hermann Ney:
A Comprehensive Study of Residual CNNS for Acoustic Modeling in ASR. ICASSP 2020: 7674-7678 - [c640]Mohammad Zeineldeen, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Layer-Normalized LSTM for Hybrid-Hmm and End-To-End ASR. ICASSP 2020: 7679-7683 - [c639]Wei Zhou, Ralf Schlüter, Hermann Ney:
Full-Sum Decoding for Hybrid Hmm Based Speech Recognition Using LSTM Language Model. ICASSP 2020: 7834-7838 - [c638]Wei Zhou, Wilfried Michel, Kazuki Irie, Markus Kitza, Ralf Schlüter, Hermann Ney:
The Rwth Asr System for Ted-Lium Release 2: Improving Hybrid Hmm With Specaugment. ICASSP 2020: 7839-7843 - [c637]Parnia Bahar, Nikita Makarov, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Exploring A Zero-Order Direct Hmm Based on Latent Attention for Automatic Speech Recognition. ICASSP 2020: 7854-7858 - [c636]Alexander Gerstenberger, Kazuki Irie, Pavel Golik, Eugen Beck, Hermann Ney:
Domain Robust, Fast, and Compact Neural Language Models. ICASSP 2020: 7954-7958 - [c635]Yingbo Gao, Weiyue Wang, Christian Herold, Zijian Yang, Hermann Ney:
Towards a Better Understanding of Label Smoothing in Neural Machine Translation. AACL/IJCNLP 2020: 212-223 - [c634]Zijian Yang, Yingbo Gao, Weiyue Wang, Hermann Ney:
Predicting and Using Target Length in Neural Machine Translation. AACL/IJCNLP 2020: 389-395 - [c633]Wei Zhou, Ralf Schlüter, Hermann Ney:
Robust Beam Search for Encoder-Decoder Attention Based Speech Recognition Without Length Bias. INTERSPEECH 2020: 1768-1772 - [c632]Eugen Beck, Ralf Schlüter, Hermann Ney:
LVCSR with Transformer Language Models. INTERSPEECH 2020: 1798-1802 - [c631]Albert Zeyer, André Merboldt, Ralf Schlüter, Hermann Ney:
A New Training Pipeline for an Improved Neural Transducer. INTERSPEECH 2020: 2812-2816 - [c630]Wilfried Michel, Ralf Schlüter, Hermann Ney:
Early Stage LM Integration Using Local and Global Log-Linear Combination. INTERSPEECH 2020: 3605-3609 - [c629]Jingjing Huo, Yingbo Gao, Weiyue Wang, Ralf Schlüter, Hermann Ney:
Investigation of Large-Margin Softmax in Neural Language Modeling. INTERSPEECH 2020: 3645-3649 - [c628]Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Context-Dependent Acoustic Modeling Without Explicit Phone Clustering. INTERSPEECH 2020: 4377-4381 - [c627]Harald Hanselmann, Hermann Ney:
ELoPE: Fine-Grained Visual Classification with Efficient Localization, Pooling and Embedding. WACV 2020: 1236-1245 - [e2]Marcello Federico, Alex Waibel, Kevin Knight, Satoshi Nakamura, Hermann Ney, Jan Niehues, Sebastian Stüker, Dekai Wu, Joseph Mariani, François Yvon:
Proceedings of the 17th International Conference on Spoken Language Translation, IWSLT 2020, Online, July 9 - 10, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-07-1 [contents] - [i44]Wei Zhou, Wilfried Michel, Kazuki Irie, Markus Kitza, Ralf Schlüter, Hermann Ney:
The RWTH ASR System for TED-LIUM Release 2: Improving Hybrid HMM with SpecAugment. CoRR abs/2004.00960 (2020) - [i43]Wei Zhou, Ralf Schlüter, Hermann Ney:
Full-Sum Decoding for Hybrid HMM based Speech Recognition using LSTM Language Model. CoRR abs/2004.00967 (2020) - [i42]Yunsu Kim, Miguel Graça, Hermann Ney:
When and Why is Unsupervised Neural Machine Translation Useless? CoRR abs/2004.10581 (2020) - [i41]Christopher Brix, Parnia Bahar, Hermann Ney:
Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture. CoRR abs/2005.03454 (2020) - [i40]Harald Hanselmann, Hermann Ney:
Fine-Grained Visual Classification with Efficient End-to-end Localization. CoRR abs/2005.05123 (2020) - [i39]Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Context-Dependent Acoustic Modeling without Explicit Phone Clustering. CoRR abs/2005.07578 (2020) - [i38]Albert Zeyer, André Merboldt, Ralf Schlüter, Hermann Ney:
A New Training Pipeline for an Improved Neural Transducer. CoRR abs/2005.09319 (2020) - [i37]Albert Zeyer, Wei Zhou, Thomas Ng, Ralf Schlüter, Hermann Ney:
Investigations on Phoneme-Based End-To-End Speech Recognition. CoRR abs/2005.09336 (2020) - [i36]Wilfried Michel, Ralf Schlüter, Hermann Ney:
Early Stage LM Integration Using Local and Global Log-Linear Combination. CoRR abs/2005.10049 (2020) - [i35]Jingjing Huo, Yingbo Gao, Weiyue Wang, Ralf Schlüter, Hermann Ney:
Investigation of Large-Margin Softmax in Neural Language Modeling. CoRR abs/2005.10089 (2020) - [i34]Jingjing Huo, Christian Herold, Yingbo Gao, Leonard Dahlmann, Shahram Khadivi, Hermann Ney:
Diving Deep into Context-Aware Neural Machine Translation. CoRR abs/2010.09482 (2020) - [i33]Wei Zhou, Simon Berger, Ralf Schlüter, Hermann Ney:
Phoneme Based Neural Transducer for Large Vocabulary Speech Recognition. CoRR abs/2010.16368 (2020) - [i32]Parnia Bahar, Christopher Brix, Hermann Ney:
Two-Way Neural Machine Translation: A Proof of Concept for Bidirectional Translation Modeling using a Two-Dimensional Grid. CoRR abs/2011.12165 (2020) - [i31]Parnia Bahar, Tobias Bieschke, Ralf Schlüter, Hermann Ney:
Tight Integrated End-to-End Training for Cascaded Speech Translation. CoRR abs/2011.12167 (2020)
2010 – 2019
- 2019
- [j96]Ralf Schlüter, Eugen Beck, Hermann Ney:
Upper and Lower Tight Error Bounds for Feature Omission with an Extension to Context Reduction. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 502-514 (2019) - [j95]Muhammad Ali Tahir, Heyun Huang, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Training of reduced-rank linear transformations for multi-layer polynomial acoustic features for speech recognition. Speech Commun. 110: 56-63 (2019) - [c626]Yunsu Kim, Yingbo Gao, Hermann Ney:
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies. ACL (1) 2019: 1246-1257 - [c625]Albert Zeyer, Parnia Bahar, Kazuki Irie, Ralf Schlüter, Hermann Ney:
A Comparison of Transformer and LSTM Encoder Decoder Models for ASR. ASRU 2019: 8-15 - [c624]Kazuki Irie, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Training Language Models for Long-Span Cross-Sentence Evaluation. ASRU 2019: 419-426 - [c623]Parnia Bahar, Tobias Bieschke, Hermann Ney:
A Comparative Study on End-to-End Speech to Text Translation. ASRU 2019: 792-799 - [c622]Yunsu Kim, Duc Thanh Tran, Hermann Ney:
When and Why is Document-level Context Useful in Neural Machine Translation? DiscoMT@EMNLP 2019: 24-34 - [c621]Yunsu Kim, Petre Petrov, Pavel Petrushkov, Shahram Khadivi, Hermann Ney:
Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages. EMNLP/IJCNLP (1) 2019: 866-876 - [c620]Yingbo Gao, Weiyue Wang, Hermann Ney:
uniblock: Scoring and Filtering Corpus with Unicode Block Information. EMNLP/IJCNLP (1) 2019: 1324-1329 - [c619]Parnia Bahar, Albert Zeyer, Ralf Schlüter, Hermann Ney:
On Using 2D Sequence-to-sequence Models for Speech Recognition. ICASSP 2019: 5671-5675 - [c618]Tobias Menne, Ralf Schlüter, Hermann Ney:
Investigation into Joint Optimization of Single Channel Speech Enhancement and Acoustic Modeling for Robust ASR. ICASSP 2019: 6660-6664 - [c617]Christoph Lüscher, Eugen Beck, Kazuki Irie, Markus Kitza, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney:
RWTH ASR Systems for LibriSpeech: Hybrid vs Attention. INTERSPEECH 2019: 231-235 - [c616]Markus Kitza, Pavel Golik, Ralf Schlüter, Hermann Ney:
Cumulative Adaptation for BLSTM Acoustic Models. INTERSPEECH 2019: 754-758 - [c615]André Merboldt, Albert Zeyer, Ralf Schlüter, Hermann Ney:
An Analysis of Local Monotonic Attention Variants. INTERSPEECH 2019: 1398-1402 - [c614]Wilfried Michel, Ralf Schlüter, Hermann Ney:
Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR. INTERSPEECH 2019: 1601-1605 - [c613]Tobias Menne, Ilya Sklyar, Ralf Schlüter, Hermann Ney:
Analysis of Deep Clustering as Preprocessing for Automatic Speech Recognition of Sparsely Overlapping Speech. INTERSPEECH 2019: 2638-2642 - [c612]Kazuki Irie, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Language Modeling with Deep Transformers. INTERSPEECH 2019: 3905-3909 - [c611]Anna Piunova, Eugen Beck, Ralf Schlüter, Hermann Ney:
Rescoring Keyword Search Confidence Estimates with Graph-Based Re-Ranking Using Acoustic Word Embeddings. INTERSPEECH 2019: 4205-4209 - [c610]Yunsu Kim, Hendrik Rosendahl, Nick Rossenbach, Jan Rosendahl, Shahram Khadivi, Hermann Ney:
Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron. RepL4NLP@ACL 2019: 61-71 - [c609]Miguel Graça, Yunsu Kim, Julian Schamper, Shahram Khadivi, Hermann Ney:
Generalizing Back-Translation in Neural Machine Translation. WMT (1) 2019: 45-52 - [c608]Jan Rosendahl, Christian Herold, Yunsu Kim, Miguel Graça, Weiyue Wang, Parnia Bahar, Yingbo Gao, Hermann Ney:
The RWTH Aachen University Machine Translation Systems for WMT 2019. WMT (2) 2019: 349-355 - [c607]Peter Stanchev, Weiyue Wang, Hermann Ney:
EED: Extended Edit Distance Measure for Machine Translation. WMT (2) 2019: 514-520 - [i30]Yunsu Kim, Andreas Guta, Joern Wuebker, Hermann Ney:
A Comparative Study on Vocabulary Reduction for Phrase Table Smoothing. CoRR abs/1901.01574 (2019) - [i29]Yunsu Kim, Julian Schamper, Hermann Ney:
Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes. CoRR abs/1901.01577 (2019) - [i28]Yunsu Kim, Jiahui Geng, Hermann Ney:
Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder. CoRR abs/1901.01590 (2019) - [i27]Christoph Lüscher, Eugen Beck, Kazuki Irie, Markus Kitza, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney:
RWTH ASR Systems for LibriSpeech: Hybrid vs Attention - w/o Data Augmentation. CoRR abs/1905.03072 (2019) - [i26]Tobias Menne, Ilya Sklyar, Ralf Schlüter, Hermann Ney:
Analysis of Deep Clustering as Preprocessing for Automatic Speech Recognition of Sparsely Overlapping Speech. CoRR abs/1905.03500 (2019) - [i25]Kazuki Irie, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Language Modeling with Deep Transformers. CoRR abs/1905.04226 (2019) - [i24]Yunsu Kim, Yingbo Gao, Hermann Ney:
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies. CoRR abs/1905.05475 (2019) - [i23]Yunsu Kim, Hendrik Rosendahl, Nick Rossenbach, Jan Rosendahl, Shahram Khadivi, Hermann Ney:
Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron. CoRR abs/1906.01942 (2019) - [i22]Markus Kitza, Pavel Golik, Ralf Schlüter, Hermann Ney:
Cumulative Adaptation for BLSTM Acoustic Models. CoRR abs/1906.06207 (2019) - [i21]Miguel Graça, Yunsu Kim, Julian Schamper, Shahram Khadivi, Hermann Ney:
Generalizing Back-Translation in Neural Machine Translation. CoRR abs/1906.07286 (2019) - [i20]Eugen Beck, Wei Zhou, Ralf Schlüter, Hermann Ney:
LSTM Language Models for LVCSR in First-Pass Decoding and Lattice-Rescoring. CoRR abs/1907.01030 (2019) - [i19]Wilfried Michel, Ralf Schlüter, Hermann Ney:
Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR. CoRR abs/1907.01409 (2019) - [i18]Yingbo Gao, Weiyue Wang, Hermann Ney:
uniblock: Scoring and Filtering Corpus with Unicode Block Information. CoRR abs/1908.09716 (2019) - [i17]Yunsu Kim, Petre Petrov, Pavel Petrushkov, Shahram Khadivi, Hermann Ney:
Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages. CoRR abs/1909.09524 (2019) - [i16]Yunsu Kim, Duc Thanh Tran, Hermann Ney:
When and Why is Document-level Context Useful in Neural Machine Translation? CoRR abs/1910.00294 (2019) - [i15]Yingbo Gao, Christian Herold, Weiyue Wang, Hermann Ney:
Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification. CoRR abs/1910.12554 (2019) - [i14]Harald Hanselmann, Hermann Ney:
ELoPE: Fine-Grained Visual Classification with Efficient Localization, Pooling and Embedding. CoRR abs/1911.07344 (2019) - [i13]Parnia Bahar, Tobias Bieschke, Hermann Ney:
A Comparative Study on End-to-end Speech to Text Translation. CoRR abs/1911.08870 (2019) - [i12]Parnia Bahar, Albert Zeyer, Ralf Schlüter, Hermann Ney:
On Using SpecAugment for End-to-End Speech Translation. CoRR abs/1911.08876 (2019) - [i11]Parnia Bahar, Albert Zeyer, Ralf Schlüter, Hermann Ney:
On using 2D sequence-to-sequence models for speech recognition. CoRR abs/1911.08888 (2019) - [i10]Nick Rossenbach, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems. CoRR abs/1912.09257 (2019) - 2018
- [j94]Oscar Koller, Sepehr Zargaran, Hermann Ney, Richard Bowden:
Deep Sign: Enabling Robust Statistical Continuous Sign Language Recognition via Hybrid CNN-HMMs. Int. J. Comput. Vis. 126(12): 1311-1325 (2018) - [c606]Eugen Beck, Albert Zeyer, Patrick Doetsch, André Merboldt, Ralf Schlüter, Hermann Ney:
Sequence Modeling and Alignment for LVCSR-Systems. ITG Symposium on Speech Communication 2018: 1-5 - [c605]Albert Zeyer, Tamer Alkhouli, Hermann Ney:
RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition. ACL (4) 2018: 128-133 - [c604]Weiyue Wang, Derui Zhu, Tamer Alkhouli, Zixuan Gan, Hermann Ney:
Neural Hidden Markov Model for Machine Translation. ACL (2) 2018: 377-382 - [c603]Necati Cihan Camgöz, Simon Hadfield, Oscar Koller, Hermann Ney, Richard Bowden:
Neural Sign Language Translation. CVPR 2018: 7784-7793 - [c602]Jan-Thorsten Peter, Eugen Beck, Hermann Ney:
Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition. EMNLP (Demonstration) 2018: 84-89 - [c601]Yunsu Kim, Jiahui Geng, Hermann Ney:
Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder. EMNLP 2018: 862-868 - [c600]Parnia Bahar, Christopher Brix, Hermann Ney:
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation. EMNLP 2018: 3009-3015 - [c599]Javier Jorge, Adria A. Martinez-Villaronga, Pavel Golik, Adrià Giménez, Joan Albert Silvestre-Cerdà, Patrick Doetsch, Vicent Andreu Císcar, Hermann Ney, Alfons Juan, Albert Sanchís:
MLLP-UPV and RWTH Aachen Spanish ASR Systems for the IberSpeech-RTVE 2018 Speech-to-Text Transcription Challenge. IberSPEECH 2018: 257-261 - [c598]Zoltán Tüske, Ralf Schlüter, Hermann Ney:
Acoustic Modeling of Speech Waveform Based on Multi-Resolution, Neural Network Signal Processing. ICASSP 2018: 4859-4863 - [c597]Kazuki Irie, Zhihong Lei, Ralf Schlüter, Hermann Ney:
Prediction of LSTM-RNN Full Context States as a Subtask for N-Gram Feedforward Language Models. ICASSP 2018: 6104-6108 - [c596]Harald Hanselmann, Hermann Ney:
Optimizing Energies for Pose-Invariant Face Recognition. ICPR 2018: 3463-3468 - [c595]Albert Zeyer, Kazuki Irie, Ralf Schlüter, Hermann Ney:
Improved Training of End-to-end Attention Models for Speech Recognition. INTERSPEECH 2018: 7-11 - [c594]Kazuki Irie, Zhihong Lei, Liuhui Deng, Ralf Schlüter, Hermann Ney:
Investigation on Estimation of Sentence Probability by Combining Forward, Backward and Bi-directional LSTM-RNNs. INTERSPEECH 2018: 392-395 - [c593]Eugen Beck, Mirko Hannemann, Patrick Dötsch, Ralf Schlüter, Hermann Ney:
Segmental Encoder-Decoder Models for Large Vocabulary Automatic Speech Recognition. INTERSPEECH 2018: 766-770 - [c592]Markus Kitza, Ralf Schlüter, Hermann Ney:
Comparison of BLSTM-Layer-Specific Affine Transformations for Speaker Adaptation. INTERSPEECH 2018: 877-881 - [c591]Zoltán Tüske, Ralf Schlüter, Hermann Ney:
Investigation on LSTM Recurrent N-gram Language Models for Speech Recognition. INTERSPEECH 2018: 3358-3362 - [c590]Tobias Menne, Ralf Schlüter, Hermann Ney:
Speaker Adapted Beamforming for Multi-Channel Automatic Speech Recognition. SLT 2018: 535-541 - [c589]Christian Herold, Yingbo Gao, Hermann Ney:
Improving Neural Language Models with Weight Norm Initialization and Regularization. WMT 2018: 93-100 - [c588]Tamer Alkhouli, Gabriel Bretschner, Hermann Ney:
On The Alignment Problem In Multi-Head Attention-Based Neural Machine Translation. WMT 2018: 177-185 - [c587]Miguel Graça, Yunsu Kim, Julian Schamper, Jiahui Geng, Hermann Ney:
The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018. WMT (shared task) 2018: 377-385 - [c586]Julian Schamper, Jan Rosendahl, Parnia Bahar, Yunsu Kim, Arne Nix, Hermann Ney:
The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018. WMT (shared task) 2018: 496-503 - [c585]Nick Rossenbach, Jan Rosendahl, Yunsu Kim, Miguel Graça, Aman Gokrani, Hermann Ney:
The RWTH Aachen University Filtering System for the WMT 2018 Parallel Corpus Filtering Task. WMT (shared task) 2018: 946-954 - [i9]Albert Zeyer, Kazuki Irie, Ralf Schlüter, Hermann Ney:
Improved training of end-to-end attention models for speech recognition. CoRR abs/1805.03294 (2018) - [i8]Albert Zeyer, Tamer Alkhouli, Hermann Ney:
RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition. CoRR abs/1805.05225 (2018) - [i7]Tobias Menne, Ralf Schlüter, Hermann Ney:
Speaker Adapted Beamforming for Multi-Channel Automatic Speech Recognition. CoRR abs/1806.07407 (2018) - [i6]Tamer Alkhouli, Gabriel Bretschner, Hermann Ney:
On The Alignment Problem In Multi-Head Attention-Based Neural Machine Translation. CoRR abs/1809.03985 (2018) - [i5]Parnia Bahar, Christopher Brix, Hermann Ney:
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation. CoRR abs/1810.03975 (2018) - 2017
- [j93]Patrick Doetsch, Mirko Hannemann, Ralf Schlüter, Hermann Ney:
Inverted Alignments for End-to-End Automatic Speech Recognition. IEEE J. Sel. Top. Signal Process. 11(8): 1265-1273 (2017) - [j92]Qun Liu, Xiaodong He, Hermann Ney:
Editorial. Mach. Transl. 31(1-2): 1-2 (2017) - [j91]Parnia Bahar, Tamer Alkhouli, Jan-Thorsten Peter, Christopher Brix, Hermann Ney:
Empirical Investigation of Optimization Algorithms in Neural Machine Translation. Prague Bull. Math. Linguistics 108: 13-26 (2017) - [j90]Jan-Thorsten Peter, Arne Nix, Hermann Ney:
Generating Alignments Using Target Foresight in Attention-Based Neural Machine Translation. Prague Bull. Math. Linguistics 108: 27-36 (2017) - [c584]Weiyue Wang, Tamer Alkhouli, Derui Zhu, Hermann Ney:
Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation. ACL (2) 2017: 125-131 - [c583]Harald Hanselmann, Shen Yan, Hermann Ney:
Deep fisher faces. BMVC 2017 - [c582]Oscar Koller, Sepehr Zargaran, Hermann Ney:
Re-Sign: Re-Aligned End-to-End Sequence Modelling with Deep Recurrent CNN-HMMs. CVPR 2017: 3416-3424 - [c581]Yunsu Kim, Julian Schamper, Hermann Ney:
Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes. EACL (2) 2017: 650-656 - [c580]Markus Nußbaum-Thom, Ralf Schlüter, Vaibhava Goel, Hermann Ney:
Noisy objective functions based on the f-divergence. ICASSP 2017: 2327-2331 - [c579]Albert Zeyer, Patrick Doetsch, Paul Voigtlaender, Ralf Schlüter, Hermann Ney:
A comprehensive study of deep bidirectional LSTM RNNS for acoustic modeling in speech recognition. ICASSP 2017: 2462-2466 - [c578]Albert Zeyer, Ilia Kulikov, Ralf Schlüter, Hermann Ney:
Faster sequence training. ICASSP 2017: 5285-5289 - [c577]Patrick Doetsch, Albert Zeyer, Paul Voigtlaender, Ilia Kulikov, Ralf Schlüter, Hermann Ney:
Returnn: The RWTH extensible training framework for universal recurrent neural networks. ICASSP 2017: 5345-5349 - [c576]Kazuki Irie, Pavel Golik, Ralf Schlüter, Hermann Ney:
Investigations on byte-level convolutional neural networks for language modeling in low resource speech recognition. ICASSP 2017: 5740-5744 - [c575]